title: Knowledge acquisition, accessibility, and use in person perception and stereotyping: simulation with a recurrent connectionist network.
abstract: Connectionist models contrast in many ways with the symbolic models that have traditionally been applied within social psychology. In this article the authors apply an autoassociative connectionist model originally developed by J. L. McClelland and D. E. Rumelhart (1986) to reproduce several well-replicated and theoretically important phenomena related to person perception and stereotyping. These phenomena are exemplar-based inference, group-based stereotyping, the simultaneous application of several stereotypes to generate emergent characteristics, and the effects of recency and frequency of prior exposures on accessibility (the probability of a representation's use). Though many of these phenomena are explained by current theories in social psychology, the simulation contributes to parsimony and theoretical integration by showing that a single, very simple mechanism can generate them all. The model also predicts a new phenomenon--rapid recovery of accessibility after it has declined to zero.
authors.affiliation: Department of Psychological Sciences, Purdue University, West Lafayette, Indiana 47907-1364, USA. esmith@psych.purdue.edu
authors.forename: E R
authors.initials: ER
authors.lastname: Smith
authors.forename: J
authors.initials: J
authors.lastname: DeCoster
mesh_terms: D003198:Computer Simulation; D006801:Humans; D007398:Interpersonal Relations; D007858:Learning; D008960:Models, Psychological; D016571:Neural Networks, Computer; D013240:Stereotyping